package com.tanhua.dubbo.server.api;

import com.alibaba.dubbo.config.annotation.Service;
import com.tanhua.dubbo.server.pojo.RecommendUser;
import com.tanhua.dubbo.server.vo.PageInfo;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Sort;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.query.Criteria;
import org.springframework.data.mongodb.core.query.Query;

import java.util.List;

/**
 * @Author: cloudy
 * @Description:
 * @Date: Created in 20:03 2021/1/4
 * @ModifiedBy:
 */
@Service(version = "1.0.0")//申明这是一个dubbo服务
public class RecommendUserApiImpl implements RecommendUserApi {

    @Autowired
    private MongoTemplate mongoTemplate;

    /**
     * 查询得分最高的用户，按照得分倒序排序
     */
    @Override
    public RecommendUser queryWithMaxScore(Long userId) {
        Query query = Query.query(Criteria.where("toUserId").is(userId)).with(Sort.by(Sort.Order.desc("score"))).limit(1);
        return mongoTemplate.findOne(query, RecommendUser.class);
    }

    /**
     * 分页并且排序参数
     */
    @Override
    public PageInfo<RecommendUser> queryPageInfo(Long userId, Integer pageNum, Integer pageSize) {
        //分页并且排序参数,由查询参数调用
        PageRequest pageRequest = PageRequest.of(pageNum - 1, pageSize, Sort.by(Sort.Order.desc("score")));
        //查询参数
        Query query = Query.query(Criteria.where("toUserId").is(userId)).with(pageRequest);
        List<RecommendUser> recommendUserList = mongoTemplate.find(query, RecommendUser.class);

        //暂时不提供数据总数
        return new PageInfo<>(0, pageNum, pageSize, recommendUserList);
    }

    /**
     * 查询好友缘分值
     *
     * @param userId
     * @param toUserId
     * @return
     */
    @Override
    public double queryScore(Long userId, Long toUserId) {
        Query query = Query.query(Criteria.where("userId").is(userId).and("toUserId").is(toUserId));
        RecommendUser recommendUser = this.mongoTemplate.findOne(query, RecommendUser.class);
        if (recommendUser == null) {
            return 0;
        }
        return recommendUser.getScore();
    }
}
